Senior Software Engineer

Overview

Join the team that powers productivity for millions of people around the world. Excel is more than a spreadsheet. It is a platform used by students, scientists, business leaders, and organizations to analyze information, solve problems, and get work done.

The Excel Agent team is building intelligent, agentic experiences designed to make advanced Excel capabilities more accessible. Users can describe what they want to accomplish in natural language, and the agent can understand workbook context and user intent, plan and complete multi-step tasks using Excel capabilities, and validate results before presenting them to the user. Our goal is to build experiences that people can trust with real work while ensuring outputs remain editable, understandable, and easy to verify.

As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning client and service components, contribute to technical direction, improve quality and reliability, and support the development of other engineers through design reviews, code reviews, and mentoring.

You will collaborate with engineering, product, design, applied science, security, and privacy partners to build scalable and responsible AI-powered experiences. The team uses AI throughout the engineering lifecycle while maintaining accountability for the quality, security, reliability, and performance of the resulting systems.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Provide technical leadership for an area of Excel Agent, contributing to technical direction and driving delivery from design through production.

Design solutions spanning client and service components that enable the agent to understand workbook context and user intent, complete multi-step tasks, and validate results.

Evaluate performance, scalability, resiliency, disaster recovery, security, and cost considerations when designing and reviewing technical solutions.

Establish and improve quality standards for agentic experiences, including evaluation methods, telemetry, monitoring, and guardrails that support reliable and responsible behavior at scale.

Define and execute testing strategies for assigned areas, including unit, integration, regression, and security testing, and use automation to improve coverage and prevent regressions.

Participate in and lead incident response as a Designated Responsible Individual (DRI), including mitigation, post-incident reviews, root-cause analysis, and implementation of reliability improvements.

Apply disciplined AI-assisted development practices by reviewing, validating, and taking responsibility for AI-generated code, designs, tests, and other engineering artifacts. Support other engineers in applying similar practices.

Collaborate with product, design, applied science, engineering, security, and privacy partners to translate customer needs and AI capabilities into technical plans that meet applicable security, privacy, responsible AI, and accessibility requirements.

Break down complex or ambiguous technical work into well-defined projects and engineering tasks and deliver secure, tested, and maintainable code across client and service components.

Support deployment automation and safe rollout practices using mechanisms such as feature flags, success and guardrail metrics, monitoring, and rollback plans.

Partner with other teams on shared components, interfaces, and engineering patterns and contribute improvements to shared technologies where appropriate.

Mentor engineers through technical discussions, design reviews, and code reviews, and contribute to engineering standards for code quality, reliability, maintainability, and observability

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Job Requirements: Other & Additional
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Effective communication skills and experience collaborating across cross-functional teams.

Experience using AI or LLM-based technologies in software development, such as AI-assisted coding, code-generation workflows, automated test generation, AI-assisted debugging, or AI-supported code review.

Experience developing agentic or AI-powered systems involving capabilities such as tool use/function calling, workflow orchestration, memory, planning, evaluation loops, or multi-agent patterns.

Experience designing or developing high-scale service architectures, including distributed systems, microservices, event-driven systems, caching, queues or streams, and observability for production services.

Experience with applied science or data-driven product development, such as experimentation, model evaluation, ranking or recommendation systems, or usage analysis.

Experience leading technical designs across multiple components or teams, mentoring engineers, and driving cross-team technical alignment.

Experience improving the quality and reliability of AI features or production services, including defining evaluation or quality standards, supporting incident response, and developing telemetry, monitoring, or guardrails.

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables.

Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Insights from previous hires

Top skills: Analytics, Automation, Python, Education, Design, Benchmarking, Architecture, Statistics, SQL, Machine Learning

Common previous titles: Tech, Senior Scientist, Technical Program Manager, Scientist, Senior System Engineer, Support Manager, Senior Specialist, Data Science Engineer, Senior Consultant, Senior Solution Architect